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Quality of life and its predictors among patients with chronic kidney disease: A hospital-based cross sectional study.

ABSTRACT: INTRODUCTION:Quality of life (QoL) is increasingly being considered as an important measure of how disease affects patients' lives, especially for long-term diseases like chronic kidney disease (CKD). Even though there is no statistically significant association between stages of CKD and QoL, it is decreased in patients with early stages of the disease. Hence, this study aimed to assess QoL and its predictors among patients with CKD at Tikur Anbessa Specialized Hospital (TASH). METHODS:A cross sectional study was conducted at the nephrology clinic of TASH. A total of 256 patients were recruited through systematic random sampling. Data were collected using the Medical Outcomes Study Short Form 36-Items (SF-36). The data were entered into Epi Info 7.2.2.2 and analyzed using SPSS version 20.0 statistical software. Descriptive statistics like frequency, percent, mean and standard deviation were used to summarize patients' baseline characteristics. Student's unpaired t-test and ANOVA were conducted to compare two groups and more than two groups in the analysis of QoL, respectively. Multivariable linear regression was employed to investigate the potential predictors of QoL. RESULTS:Quality of life was decreased in all stages of CKD. A reduction in physical functioning (p = 0.03), bodily pain (p = 0.004), vitality (p = 0.019) and social functioning (p = 0.002) was observed progressively across stages of CKD. High income status and greater than 11g/dl hemoglobin level were found to be predictors of all high score SF-36 domains. High family income (? 15.33; 95%CI: 11.33-19.33, p<0.001), higher educational status (? 7.9; 95%CI: 4.10-11.66, p<0.001), and hemoglobin ?11g/dl (? 8.36; 95%CI: 6.31-10.41, p<0.001) were predictors of better QoL in the physical component summary, whereas absence of CKD complications (? 2.75; 95%CI: 0.56-4.94, p = 0.014), high family income (? 10.10; 95%CI: 5.10-15.10, p<0.001) and hemoglobin ?11g/dl (? 4.54, 95%CI: 2.01-7.08, p = 0.001) were predictors of better QoL in the mental component summary. CONCLUSION:In this setting, QoL decreased in CKD patients in the early stages of the disease. Study participants with low income and hemoglobin level were considered to have worse quality of life in both physical and mental component summaries.

SUBMITTER: Kefale B

PROVIDER: S-EPMC6392259 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Quality of life and its predictors among patients with chronic kidney disease: A hospital-based cross sectional study.

Kefale Belayneh B Alebachew Minyahil M Tadesse Yewondwossen Y Engidawork Ephrem E

PloS one 20190227 2

<h4>Introduction</h4>Quality of life (QoL) is increasingly being considered as an important measure of how disease affects patients' lives, especially for long-term diseases like chronic kidney disease (CKD). Even though there is no statistically significant association between stages of CKD and QoL, it is decreased in patients with early stages of the disease. Hence, this study aimed to assess QoL and its predictors among patients with CKD at Tikur Anbessa Specialized Hospital (TASH).<h4>Method ...[more]

PMID: 30811447

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Project description:BACKGROUND:Chronic kidney disease (CKD) leads to decreased quality of life (QOL) by increasing the risk of death during the progression of its pathogenesis. However, many factors can be improved to support QOL. This study aimed to assess QOL among CKD patients in Nepal and to determine the factors associated with their QOL. METHOD:A cross-sectional study was used for data collection. CKD cases receiving medical attention in the Bir Hospital in Mahaboudh, Kathmandu; Tribhuvan University Teaching Hospital in Maharajgunj, Kathmandu; Sumeru Hospital in Dhapakhel, Lalitpur; and Shahid Dharma Bhakta National Transplant Centre in Bhaktapur between August and October 2019 were invited to participate in the study. A validated questionnaire and the kidney disease quality of life short form (KDQOL-SF™ 1.3) were used to assess QOL. A questionnaire was completed by the researcher in face-to-face interviews. Logistic regression was used to detect the associations between variables at the significance level of ??=?0.05. RESULTS:A total of 440 participants were recruited into the study: 56.59% were males, 74.32% were aged between 31 and 70?years, 25.68% were illiterate, and 82.95% were unemployed. The prevalence of good QOL among CKD in the domains of the physical component summary (PCS), mental component summary (MCS), and kidney disease component summary (KDCS) with and without hemodialysis were 53.64, 22.05, 21.28, and 13.19%, respectively. After controlling for all potential confounding factors, eight variables were found to be associated with good QOL in the domain of PCS: age, education, stage of CKD, hemodialysis, transporting oneself to a hospital, health insurance, medical expenses, and perceived lack of difficulty in handling medical expenses. Six variables were associated with good QOL in the domain of MCS after controlling for all potential confounding factors: residence, stage of CKD, transporting oneself to a hospital, health insurance, medical expenses, and perceived lack of difficulty in handling medical expenses. CONCLUSIONS:Public health interventions should be developed and implemented to improve QOL among CKD patients in Nepal by focusing on older female patients who have low education, live in rural areas and no health insurance.

Project description:BackgroundPeople living with diabetes and chronic kidney disease (CKD) experience compromised quality of life. Consequently, it is critical to identify and understand factors influencing their health-related quality of life (HRQoL). This study examined factors associated with HRQoL among patients with diabetes and CKD.MethodsA cross sectional study among adults with comorbid diabetes and CKD (eGFR <60 mL/min/1.73m2) recruited from renal and diabetes clinics of four large tertiary referral hospitals in Australia was performed. Each participant completed the Kidney Disease Quality of Life (KDQoL ™ -36) questionnaire, which is comprised of two composite measures of physical and mental health and 3 kidney disease specific subscales with possible scores ranging from 0 to 100 with higher values indicating better HRQoL. Demographic and clinical data were also collected. Regression analyses were performed to determine the relationship between HRQoL and potential predictor factors.ResultsA total of 308 patients were studied with a mean age of 66.9 (SD = 11.0) years and 70% were males. Mean scores for the physical composite summary, mental composite summary, symptom/problem list, effects of kidney disease and burden of kidney disease scales were 35.2, 47.0, 73.8, 72.5 and 59.8 respectively. Younger age was associated with lower scores in all subscales except for the physical composite summary. Female gender, obese or normal weight rather than overweight, and smoking were all associated with lower scores in one or more subscales. Scores were progressively lower with more advanced stage of CKD (p<0.05) in all subscales except for the mental composite summary.ConclusionIn patients with diabetes and CKD, younger age was associated with lower scores in all HRQoL subscales except the physical composite summary and female gender, obese or normal weight and more advanced stages of CKD were associated with lower scores in one or more subscales. Identifying these factors will inform the timely implementation of interventions to improve the quality of life of these patients.

Project description:BackgroundAnaemia is a known risk factor for cardiovascular disease and treating anaemia in chronic kidney disease (CKD) may improve outcomes. However, little is known about the scope to improve primary care management of anaemia in CKD.MethodsAn observational study (N = 1,099,292) with a nationally representative sample using anonymised routine primary care data from 127 Quality Improvement in CKD trial practices (ISRCTN5631023731). We explored variables associated with anaemia in CKD: eGFR, haemoglobin (Hb), mean corpuscular volume (MCV), iron status, cardiovascular comorbidities, and use of therapy which associated with gastrointestinal bleeding, oral iron and deprivation score. We developed a linear regression model to identify variables amenable to improved primary care management.ResultsThe prevalence of Stage 3-5 CKD was 6.76%. Hb was lower in CKD (13.2 g/dl) than without (13.7 g/dl). 22.2% of people with CKD had World Health Organization defined anaemia; 8.6% had Hb ? 11 g/dl; 3% Hb ? 10 g/dl; and 1% Hb ? 9 g/dl. Normocytic anaemia was present in 80.5% with Hb ? 11; 72.7% with Hb ? 10 g/dl; and 67.6% with Hb ? 9 g/dl; microcytic anaemia in 13.4% with Hb ? 11 g/dl; 20.8% with Hb ? 10 g/dl; and 24.9% where Hb ? 9 g/dl. 82.7% of people with microcytic and 58.8% with normocytic anaemia (Hb ? 11 g/dl) had a low ferritin (<100 ug/mL). Hypertension (67.2% vs. 54%) and diabetes (30.7% vs. 15.4%) were more prevalent in CKD and anaemia; 61% had been prescribed aspirin; 73% non-steroidal anti-inflammatory drugs (NSAIDs); 14.1% warfarin 12.4% clopidogrel; and 53.1% aspirin and NSAID. 56.3% of people with CKD and anaemia had been prescribed oral iron. The main limitations of the study are that routine data are inevitably incomplete and definitions of anaemia have not been standardised.ConclusionsMedication review is needed in people with CKD and anaemia prior to considering erythropoietin or parenteral iron. Iron stores may be depleted in over >60% of people with normocytic anaemia. Prescribing oral iron has not corrected anaemia.

Project description:IntroductionChronic kidney disease (CKD) has a complicated interrelationship with other diseases and major risk factor for cardiovascular disease. Therapeutic management for CKD patients is complicated due to co-morbidities and dominant risk factors of CKD. Non-adherence to treatment is an increasing problem for patients with CKD and it has not been extensively studied in patients with CKD. Hence, the present study was carried out to assess the management practice, medication adherence and factors affecting medication adherence in CKD patients at Tikur Anbessa Specialized Hospital (TASH).MethodsA hospital-based cross-sectional study was conducted at the nephrology clinic of TASH. A total of 256 patients were recruited through systematic random sampling. Data were collected from medical records and interviewing patients. The degree of adherence was determined using eight-item Morisky Medication Adherence Scale. The data were entered into Epi Info 7.2.2.2 and analyzed using SPSS version 20.0 statistical software. Descriptive statistics such as frequency, percent, mean and standard deviation were used to summarize patients' baseline characteristics. Univariable and multivariable binary logistic regression were used to investigate the potential predictors of medication non-adherence.ResultsAbout 55% patients with hypertension only were treated with non-angiotensin converting enzyme inhibition based regimens; 57.3% of diabetes mellitus with hypertension treated with combination of insulin and ACEI based regimens. About three-fourth of patients with anemia and osteodystrophy complications were treated with iron preparations and calcium based phosphate binder. Only 61.3% of the study population were adherent to their treatment regimens. Forgetfulness (79.8%) was the major reason for medication non-adherence. Patients who had an average and high monthly income were 4.14 (AOR = 4.14, 95% CI: 1.45-11.84, p = 0.008) and 6.17 times (AOR = 6.17, 95% CI: 1.02-37.46, p = 0.048) more likely to adhere as compared to those who had very low income. Patients who were prescribed with ≥5 drugs were 0.46 times (AOR = 0.54, 95% CI: 0.27-1.10, p = 0.049) less likely to adhere compared to their counterpart. Patients who were students, drivers, teachers working in private school were about 7.46 times (AOR = 7.46, 95% CI: 1.49-37.26, p = 0.014) more likely to adhere compared with patients who were farmers.ConclusionInsulin and ACEIs based regimens were the most frequently used regimens in the treatment of diabetes mellitus and hypertension co-morbidities. Very low income, increased number of prescribed medications and being a farmer were the predictors of medication non-adherence.

Project description:IntroductionChronic kidney disease (CKD) is associated with significant morbidity, mortality, healthcare cost and reduced health-related quality of life (HRQoL). This study aimed to assess HRQoL and associated factors among patients with CKD at both Zewditu Memorial and Tikur Anbessa Specialised Hospitals, Ethiopia.MethodA cross-sectional study design was performed. All patients who visited the renal clinics in both hospitals from March to July 2019 were targeted, and data were collected using interviews and medical records. HRQoL was assessed using the Kidney Disease and Quality of Life-36 tool. Normality assessment was done for HRQoL subscales. Descriptive statistics, logistic regression, t-test and one-way analysis of variance were performed.ResultA total of 300 patients with CKD were included. Around 62% of them were in either stage 3 or 4 CKD. The mean domain scores of physical component summary (PCS), mental component summary (MCS), burden of kidney disease, effect of kidney disease and symptoms and problems of kidney disease (SPKD) subscales were 50.4, 59.5, 63.1, 74.6 and 80.4, respectively. The lowest HRQoL was seen in the PCS scale, while the highest was in SPKD. In addition, the study revealed that a lower level of education, elevated serum creatinine and a history of smoking were significantly associated with poor PCS score. Further, the presence of three or more comorbidities, CKD-related complications and a lower haemoglobin level were significantly associated with poor MCS.ConclusionThe overall mean scores of PCS and MCS were low, below the standard level. Level of education, serum creatinine and smoking history were significantly associated with PCS, while the presence of comorbidity, complications and haemoglobin level were significantly associated with MCS. Stakeholders working on CKD management should design a relevant strategy targeting patients, patients' care providers and healthcare professionals to improve HRQoL of patients.

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Quality of life and its predictors among patients with chronic kidney disease: A hospital-based cross sectional study.

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Quality of life and its predictors among patients with chronic kidney disease: A hospital-based cross sectional study.

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